@omarsar0
Efficiency in LLMs Pay attention, devs. This is one of the most comprehensive benchmarks to date on improving the efficiency of LLMs. You don't see reports like this every day. Here are my notes: https://t.co/4sOAcs0vDQ
Viewing enriched Twitter post
Efficiency in LLMs Pay attention, devs. This is one of the most comprehensive benchmarks to date on improving the efficiency of LLMs. You don't see reports like this every day. Here are my notes: https://t.co/4sOAcs0vDQ
{
"media": [
{
"type": "image",
"url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/1925191664475222186/media_0.jpg?",
"filename": "media_0.jpg"
}
],
"nlp": {
"sentiment": "positive",
"topics": [
"LLMs",
"efficiency",
"benchmarks"
],
"entities": [],
"summary": "The tweet highlights a comprehensive benchmark report on improving the efficiency of LLMs and encourages developers to pay attention to it.",
"language": "en",
"processed_at": "2025-08-07T14:24:32.296714"
}
} {
"data": {
"threaded_conversation_with_injections_v2": {
"instructions": [
{
"type": "TimelineClearCache"
},
{
"type": "TimelineAddEntries",
"entries": [
{
"entryId": "tweet-1925191664475222186",
"sortIndex": "1953552844304941056",
"content": {
"entryType": "TimelineTimelineItem",
"__typename": "TimelineTimelineItem",
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925191664475222186",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31704,
"followers_count": 258937,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3787,
"name": "elvis",
"normal_followers_count": 258937,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15325,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925191664475222186"
],
"editable_until_msecs": "1747840035000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "75618",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 969,
"bookmarked": false,
"created_at": "Wed May 21 14:07:15 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
0,
199
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/4sOAcs0vDQ",
"expanded_url": "https://x.com/omarsar0/status/1925191664475222186/photo/1",
"id_str": "1925182074102685696",
"indices": [
200,
223
],
"media_key": "3_1925182074102685696",
"media_url_https": "https://pbs.twimg.com/media/Gree5XbXIAAjleb.png",
"type": "photo",
"url": "https://t.co/4sOAcs0vDQ",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 996,
"w": 970,
"resize": "fit"
},
"medium": {
"h": 996,
"w": 970,
"resize": "fit"
},
"small": {
"h": 680,
"w": 662,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 996,
"width": 970,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 970,
"h": 543
},
{
"x": 0,
"y": 0,
"w": 970,
"h": 970
},
{
"x": 0,
"y": 0,
"w": 874,
"h": 996
},
{
"x": 0,
"y": 0,
"w": 498,
"h": 996
},
{
"x": 0,
"y": 0,
"w": 970,
"h": 996
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925182074102685696"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/4sOAcs0vDQ",
"expanded_url": "https://x.com/omarsar0/status/1925191664475222186/photo/1",
"id_str": "1925182074102685696",
"indices": [
200,
223
],
"media_key": "3_1925182074102685696",
"media_url_https": "https://pbs.twimg.com/media/Gree5XbXIAAjleb.png",
"type": "photo",
"url": "https://t.co/4sOAcs0vDQ",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 996,
"w": 970,
"resize": "fit"
},
"medium": {
"h": 996,
"w": 970,
"resize": "fit"
},
"small": {
"h": 680,
"w": 662,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 996,
"width": 970,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 970,
"h": 543
},
{
"x": 0,
"y": 0,
"w": 970,
"h": 970
},
{
"x": 0,
"y": 0,
"w": 874,
"h": 996
},
{
"x": 0,
"y": 0,
"w": 498,
"h": 996
},
{
"x": 0,
"y": 0,
"w": 970,
"h": 996
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925182074102685696"
}
}
}
]
},
"favorite_count": 755,
"favorited": false,
"full_text": "Efficiency in LLMs\n\nPay attention, devs.\n\nThis is one of the most comprehensive benchmarks to date on improving the efficiency of LLMs.\n\nYou don't see reports like this every day.\n\nHere are my notes: https://t.co/4sOAcs0vDQ",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 5,
"reply_count": 11,
"retweet_count": 124,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1925191664475222186"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet"
}
}
},
{
"entryId": "conversationthread-1925191667390222688",
"sortIndex": "1953552844304941046",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1925191667390222688-tweet-1925191667390222688",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925191667390222688",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31704,
"followers_count": 258937,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3787,
"name": "elvis",
"normal_followers_count": 258937,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15325,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925191667390222688"
],
"editable_until_msecs": "1747840036000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "3037",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MjUxOTE2NjcyOTgwNDU5NTI=",
"text": "Conducted on a production-grade GPU cluster, the study evaluates over 100 model-technique combinations using six orthogonal metrics (memory, compute, latency, throughput, energy, and compression).\n\nIt offers actionable insights for researchers, engineers, and practitioners, revealing critical trade-offs and guiding optimal deployment decisions.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 14,
"bookmarked": false,
"created_at": "Wed May 21 14:07:16 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
0,
275
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/xPKXpb1Kh2",
"expanded_url": "https://x.com/omarsar0/status/1925191667390222688/photo/1",
"id_str": "1925189197679194113",
"indices": [
276,
299
],
"media_key": "3_1925189197679194113",
"media_url_https": "https://pbs.twimg.com/media/GrelYA0WcAENZkY.jpg",
"type": "photo",
"url": "https://t.co/xPKXpb1Kh2",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 594,
"y": 491,
"h": 170,
"w": 170
}
]
},
"medium": {
"faces": [
{
"x": 594,
"y": 491,
"h": 170,
"w": 170
}
]
},
"small": {
"faces": [
{
"x": 349,
"y": 288,
"h": 100,
"w": 100
}
]
},
"orig": {
"faces": [
{
"x": 594,
"y": 491,
"h": 170,
"w": 170
}
]
}
},
"sizes": {
"large": {
"h": 733,
"w": 1156,
"resize": "fit"
},
"medium": {
"h": 733,
"w": 1156,
"resize": "fit"
},
"small": {
"h": 431,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 733,
"width": 1156,
"focus_rects": [
{
"x": 0,
"y": 86,
"w": 1156,
"h": 647
},
{
"x": 9,
"y": 0,
"w": 733,
"h": 733
},
{
"x": 54,
"y": 0,
"w": 643,
"h": 733
},
{
"x": 192,
"y": 0,
"w": 367,
"h": 733
},
{
"x": 0,
"y": 0,
"w": 1156,
"h": 733
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925189197679194113"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/xPKXpb1Kh2",
"expanded_url": "https://x.com/omarsar0/status/1925191667390222688/photo/1",
"id_str": "1925189197679194113",
"indices": [
276,
299
],
"media_key": "3_1925189197679194113",
"media_url_https": "https://pbs.twimg.com/media/GrelYA0WcAENZkY.jpg",
"type": "photo",
"url": "https://t.co/xPKXpb1Kh2",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": [
{
"x": 594,
"y": 491,
"h": 170,
"w": 170
}
]
},
"medium": {
"faces": [
{
"x": 594,
"y": 491,
"h": 170,
"w": 170
}
]
},
"small": {
"faces": [
{
"x": 349,
"y": 288,
"h": 100,
"w": 100
}
]
},
"orig": {
"faces": [
{
"x": 594,
"y": 491,
"h": 170,
"w": 170
}
]
}
},
"sizes": {
"large": {
"h": 733,
"w": 1156,
"resize": "fit"
},
"medium": {
"h": 733,
"w": 1156,
"resize": "fit"
},
"small": {
"h": 431,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 733,
"width": 1156,
"focus_rects": [
{
"x": 0,
"y": 86,
"w": 1156,
"h": 647
},
{
"x": 9,
"y": 0,
"w": 733,
"h": 733
},
{
"x": 54,
"y": 0,
"w": 643,
"h": 733
},
{
"x": 192,
"y": 0,
"w": 367,
"h": 733
},
{
"x": 0,
"y": 0,
"w": 1156,
"h": 733
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925189197679194113"
}
}
}
]
},
"favorite_count": 13,
"favorited": false,
"full_text": "Conducted on a production-grade GPU cluster, the study evaluates over 100 model-technique combinations using six orthogonal metrics (memory, compute, latency, throughput, energy, and compression).\n\nIt offers actionable insights for researchers, engineers, and practitioners,… https://t.co/xPKXpb1Kh2",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191664475222186",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1925191667390222688"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1925191667390222688-tweet-1925191670263357491",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925191670263357491",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31704,
"followers_count": 258937,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3787,
"name": "elvis",
"normal_followers_count": 258937,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15325,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925191670263357491"
],
"editable_until_msecs": "1747840037000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2889",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MjUxOTE2NzAxNzExMDMyMzI=",
"text": "No one-size-fits-all solution\n\nAll methods improve some efficiency metric but compromise others.\n\nFor example, Mixture-of-Experts (MoE) architectures improve performance and reduce FLOPs, but increase VRAM usage by ~40%. \n\nConversely, int4 quantization offers up to 3.9× memory and energy savings but leads to a 3–5% average drop in task accuracy.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 9,
"bookmarked": false,
"created_at": "Wed May 21 14:07:17 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
0,
278
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/cSFNwXKqb0",
"expanded_url": "https://x.com/omarsar0/status/1925191670263357491/photo/1",
"id_str": "1925190735881494528",
"indices": [
279,
302
],
"media_key": "3_1925190735881494528",
"media_url_https": "https://pbs.twimg.com/media/GremxjEW4AA-BC3.jpg",
"type": "photo",
"url": "https://t.co/cSFNwXKqb0",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 764,
"w": 1148,
"resize": "fit"
},
"medium": {
"h": 764,
"w": 1148,
"resize": "fit"
},
"small": {
"h": 453,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 764,
"width": 1148,
"focus_rects": [
{
"x": 0,
"y": 121,
"w": 1148,
"h": 643
},
{
"x": 384,
"y": 0,
"w": 764,
"h": 764
},
{
"x": 478,
"y": 0,
"w": 670,
"h": 764
},
{
"x": 698,
"y": 0,
"w": 382,
"h": 764
},
{
"x": 0,
"y": 0,
"w": 1148,
"h": 764
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925190735881494528"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/cSFNwXKqb0",
"expanded_url": "https://x.com/omarsar0/status/1925191670263357491/photo/1",
"id_str": "1925190735881494528",
"indices": [
279,
302
],
"media_key": "3_1925190735881494528",
"media_url_https": "https://pbs.twimg.com/media/GremxjEW4AA-BC3.jpg",
"type": "photo",
"url": "https://t.co/cSFNwXKqb0",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 764,
"w": 1148,
"resize": "fit"
},
"medium": {
"h": 764,
"w": 1148,
"resize": "fit"
},
"small": {
"h": 453,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 764,
"width": 1148,
"focus_rects": [
{
"x": 0,
"y": 121,
"w": 1148,
"h": 643
},
{
"x": 384,
"y": 0,
"w": 764,
"h": 764
},
{
"x": 478,
"y": 0,
"w": 670,
"h": 764
},
{
"x": 698,
"y": 0,
"w": 382,
"h": 764
},
{
"x": 0,
"y": 0,
"w": 1148,
"h": 764
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925190735881494528"
}
}
}
]
},
"favorite_count": 18,
"favorited": false,
"full_text": "No one-size-fits-all solution\n\nAll methods improve some efficiency metric but compromise others.\n\nFor example, Mixture-of-Experts (MoE) architectures improve performance and reduce FLOPs, but increase VRAM usage by ~40%. \n\nConversely, int4 quantization offers up to 3.9× memory… https://t.co/cSFNwXKqb0",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191667390222688",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 2,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1925191670263357491"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1925191667390222688-tweet-1925191672813477959",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925191672813477959",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31704,
"followers_count": 258937,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3787,
"name": "elvis",
"normal_followers_count": 258937,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15325,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925191672813477959"
],
"editable_until_msecs": "1747840037000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "2397",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MjUxOTE2NzI3Mzc5ODg2MDk=",
"text": "Attention mechanism trade-offs\n\nAmong efficient attention variants, here are the findings:\n\n- Multi-Query Attention (MQA) yields the best memory-latency trade-off for constrained environments\n\n- Multi-Head Latent Attention (MLA) delivers the lowest perplexity \n\n-Native Sparse Attention (NSA) minimizes energy consumption",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 7,
"bookmarked": false,
"created_at": "Wed May 21 14:07:17 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
0,
277
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/pvOaoABahd",
"expanded_url": "https://x.com/omarsar0/status/1925191672813477959/photo/1",
"id_str": "1925189363673042944",
"indices": [
278,
301
],
"media_key": "3_1925189363673042944",
"media_url_https": "https://pbs.twimg.com/media/GrelhrMXkAAA5y3.jpg",
"type": "photo",
"url": "https://t.co/pvOaoABahd",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 863,
"w": 905,
"resize": "fit"
},
"medium": {
"h": 863,
"w": 905,
"resize": "fit"
},
"small": {
"h": 648,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 863,
"width": 905,
"focus_rects": [
{
"x": 0,
"y": 356,
"w": 905,
"h": 507
},
{
"x": 0,
"y": 0,
"w": 863,
"h": 863
},
{
"x": 0,
"y": 0,
"w": 757,
"h": 863
},
{
"x": 0,
"y": 0,
"w": 432,
"h": 863
},
{
"x": 0,
"y": 0,
"w": 905,
"h": 863
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925189363673042944"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/pvOaoABahd",
"expanded_url": "https://x.com/omarsar0/status/1925191672813477959/photo/1",
"id_str": "1925189363673042944",
"indices": [
278,
301
],
"media_key": "3_1925189363673042944",
"media_url_https": "https://pbs.twimg.com/media/GrelhrMXkAAA5y3.jpg",
"type": "photo",
"url": "https://t.co/pvOaoABahd",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 863,
"w": 905,
"resize": "fit"
},
"medium": {
"h": 863,
"w": 905,
"resize": "fit"
},
"small": {
"h": 648,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 863,
"width": 905,
"focus_rects": [
{
"x": 0,
"y": 356,
"w": 905,
"h": 507
},
{
"x": 0,
"y": 0,
"w": 863,
"h": 863
},
{
"x": 0,
"y": 0,
"w": 757,
"h": 863
},
{
"x": 0,
"y": 0,
"w": 432,
"h": 863
},
{
"x": 0,
"y": 0,
"w": 905,
"h": 863
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925189363673042944"
}
}
}
]
},
"favorite_count": 12,
"favorited": false,
"full_text": "Attention mechanism trade-offs\n\nAmong efficient attention variants, here are the findings:\n\n- Multi-Query Attention (MQA) yields the best memory-latency trade-off for constrained environments\n\n- Multi-Head Latent Attention (MLA) delivers the lowest perplexity \n\n-Native Sparse… https://t.co/pvOaoABahd",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191670263357491",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1925191672813477959"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1925191667390222688-tweet-1925191675741118544",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925191675741118544",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31704,
"followers_count": 258937,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3787,
"name": "elvis",
"normal_followers_count": 258937,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15325,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925191675741118544"
],
"editable_until_msecs": "1747840038000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "1923",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MjUxOTE2NzU2Njk4NTIxNjA=",
"text": "Fine-tuning strategy varies by model size\n\nLoRA and variants excel on small models (1–3B params), while RSLoRA outperforms for models ≥14B, offering better latency and energy efficiency. \n\nParameter freezing achieves the lowest tuning latency, albeit with some accuracy trade-off.",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 6,
"bookmarked": false,
"created_at": "Wed May 21 14:07:18 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
0,
270
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/JMTFZ7y7Z1",
"expanded_url": "https://x.com/omarsar0/status/1925191675741118544/photo/1",
"id_str": "1925189593818689536",
"indices": [
271,
294
],
"media_key": "3_1925189593818689536",
"media_url_https": "https://pbs.twimg.com/media/GrelvEjXcAAAEO8.jpg",
"type": "photo",
"url": "https://t.co/JMTFZ7y7Z1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 783,
"w": 1170,
"resize": "fit"
},
"medium": {
"h": 783,
"w": 1170,
"resize": "fit"
},
"small": {
"h": 455,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 783,
"width": 1170,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1170,
"h": 655
},
{
"x": 281,
"y": 0,
"w": 783,
"h": 783
},
{
"x": 329,
"y": 0,
"w": 687,
"h": 783
},
{
"x": 476,
"y": 0,
"w": 392,
"h": 783
},
{
"x": 0,
"y": 0,
"w": 1170,
"h": 783
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925189593818689536"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/JMTFZ7y7Z1",
"expanded_url": "https://x.com/omarsar0/status/1925191675741118544/photo/1",
"id_str": "1925189593818689536",
"indices": [
271,
294
],
"media_key": "3_1925189593818689536",
"media_url_https": "https://pbs.twimg.com/media/GrelvEjXcAAAEO8.jpg",
"type": "photo",
"url": "https://t.co/JMTFZ7y7Z1",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 783,
"w": 1170,
"resize": "fit"
},
"medium": {
"h": 783,
"w": 1170,
"resize": "fit"
},
"small": {
"h": 455,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 783,
"width": 1170,
"focus_rects": [
{
"x": 0,
"y": 0,
"w": 1170,
"h": 655
},
{
"x": 281,
"y": 0,
"w": 783,
"h": 783
},
{
"x": 329,
"y": 0,
"w": 687,
"h": 783
},
{
"x": 476,
"y": 0,
"w": 392,
"h": 783
},
{
"x": 0,
"y": 0,
"w": 1170,
"h": 783
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925189593818689536"
}
}
}
]
},
"favorite_count": 12,
"favorited": false,
"full_text": "Fine-tuning strategy varies by model size\n\nLoRA and variants excel on small models (1–3B params), while RSLoRA outperforms for models ≥14B, offering better latency and energy efficiency. \n\nParameter freezing achieves the lowest tuning latency, albeit with some accuracy… https://t.co/JMTFZ7y7Z1",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191672813477959",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1925191675741118544"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1925191667390222688-tweet-1925191678236725618",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925191678236725618",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31704,
"followers_count": 258937,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3787,
"name": "elvis",
"normal_followers_count": 258937,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15325,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925191678236725618"
],
"editable_until_msecs": "1747840039000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "4731",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 7,
"bookmarked": false,
"created_at": "Wed May 21 14:07:19 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
0,
271
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/RGVEuUJuGn",
"expanded_url": "https://x.com/omarsar0/status/1925191678236725618/photo/1",
"id_str": "1925190031649476608",
"indices": [
272,
295
],
"media_key": "3_1925190031649476608",
"media_url_https": "https://pbs.twimg.com/media/GremIjmXEAAi4Mu.jpg",
"type": "photo",
"url": "https://t.co/RGVEuUJuGn",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 459,
"w": 1263,
"resize": "fit"
},
"medium": {
"h": 436,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 247,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 459,
"width": 1263,
"focus_rects": [
{
"x": 221,
"y": 0,
"w": 820,
"h": 459
},
{
"x": 402,
"y": 0,
"w": 459,
"h": 459
},
{
"x": 430,
"y": 0,
"w": 403,
"h": 459
},
{
"x": 516,
"y": 0,
"w": 230,
"h": 459
},
{
"x": 0,
"y": 0,
"w": 1263,
"h": 459
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925190031649476608"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/RGVEuUJuGn",
"expanded_url": "https://x.com/omarsar0/status/1925191678236725618/photo/1",
"id_str": "1925190031649476608",
"indices": [
272,
295
],
"media_key": "3_1925190031649476608",
"media_url_https": "https://pbs.twimg.com/media/GremIjmXEAAi4Mu.jpg",
"type": "photo",
"url": "https://t.co/RGVEuUJuGn",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 459,
"w": 1263,
"resize": "fit"
},
"medium": {
"h": 436,
"w": 1200,
"resize": "fit"
},
"small": {
"h": 247,
"w": 680,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 459,
"width": 1263,
"focus_rects": [
{
"x": 221,
"y": 0,
"w": 820,
"h": 459
},
{
"x": 402,
"y": 0,
"w": 459,
"h": 459
},
{
"x": 430,
"y": 0,
"w": 403,
"h": 459
},
{
"x": 516,
"y": 0,
"w": 230,
"h": 459
},
{
"x": 0,
"y": 0,
"w": 1263,
"h": 459
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925190031649476608"
}
}
}
]
},
"favorite_count": 16,
"favorited": false,
"full_text": "Quantization is highly effective\n\nint4 post-training quantization dramatically boosts memory and throughput efficiency, with minimal performance degradation. \n\nbfloat16 consistently outperforms float16 on Hopper GPUs in latency and energy, due to better hardware support. https://t.co/RGVEuUJuGn",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191675741118544",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 1,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1925191678236725618"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1925191667390222688-tweet-1925191681025962427",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925191681025962427",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozNDQ4Mjg0MzEz",
"rest_id": "3448284313",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Fri Sep 04 12:59:26 +0000 2015",
"default_profile": false,
"default_profile_image": false,
"description": "Building with AI agents @dair_ai • Prev: Meta AI, Galactica LLM, Elastic, PaperswithCode, PhD • I share insights on how to build with AI Agents ⬇️",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "dair-ai.thinkific.com",
"expanded_url": "https://dair-ai.thinkific.com/",
"url": "https://t.co/JBU5beHQNs",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 31704,
"followers_count": 258937,
"friends_count": 643,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 4291,
"location": "",
"media_count": 3787,
"name": "elvis",
"normal_followers_count": 258937,
"pinned_tweet_ids_str": [
"1953502698801623159"
],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/3448284313/1565974901",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/939313677647282181/vZjFWtAn_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "omarsar0",
"statuses_count": 15325,
"translator_type": "regular",
"url": "https://t.co/JBU5beHQNs",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1460724937073770505",
"professional_type": "Creator",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {
"is_enabled": false,
"cash_app_handle": "£elvisomarsaravia"
}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925191681025962427"
],
"editable_until_msecs": "1747840039000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "4719",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"note_tweet": {
"is_expandable": true,
"note_tweet_results": {
"result": {
"id": "Tm90ZVR3ZWV0OjE5MjUxOTE2ODA4NzA4MTc3OTM=",
"text": "Applicability across modalities\n\nTechniques validated on LLMs also improve efficiency in Large Vision Models (LVMs) and Vision-Language Models (VLMs), with MQA/GQA boosting FID scores in image generation and PEFT methods providing balanced performance–efficiency trade-offs.\n\nGreat to see such a comprehensive student on the efficiency of LLMs. And cool to see all the progress coming from open-source AI efforts. \n\nPaper: https://t.co/5a2J9AW5ps",
"entity_set": {
"hashtags": [],
"symbols": [],
"urls": [
{
"display_url": "arxiv.org/abs/2505.13840",
"expanded_url": "https://arxiv.org/abs/2505.13840",
"url": "https://t.co/5a2J9AW5ps",
"indices": [
423,
446
]
}
],
"user_mentions": []
},
"richtext": {
"richtext_tags": []
},
"media": {
"inline_media": []
}
}
}
},
"legacy": {
"bookmark_count": 6,
"bookmarked": false,
"created_at": "Wed May 21 14:07:19 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
0,
275
],
"entities": {
"hashtags": [],
"media": [
{
"display_url": "pic.x.com/5O5r76JiLq",
"expanded_url": "https://x.com/omarsar0/status/1925191681025962427/photo/1",
"id_str": "1925190377448853504",
"indices": [
276,
299
],
"media_key": "3_1925190377448853504",
"media_url_https": "https://pbs.twimg.com/media/GremcrzW0AATUrS.png",
"type": "photo",
"url": "https://t.co/5O5r76JiLq",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 841,
"w": 833,
"resize": "fit"
},
"medium": {
"h": 841,
"w": 833,
"resize": "fit"
},
"small": {
"h": 680,
"w": 674,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 841,
"width": 833,
"focus_rects": [
{
"x": 0,
"y": 166,
"w": 833,
"h": 466
},
{
"x": 0,
"y": 0,
"w": 833,
"h": 833
},
{
"x": 0,
"y": 0,
"w": 738,
"h": 841
},
{
"x": 0,
"y": 0,
"w": 421,
"h": 841
},
{
"x": 0,
"y": 0,
"w": 833,
"h": 841
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925190377448853504"
}
}
}
],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": []
},
"extended_entities": {
"media": [
{
"display_url": "pic.x.com/5O5r76JiLq",
"expanded_url": "https://x.com/omarsar0/status/1925191681025962427/photo/1",
"id_str": "1925190377448853504",
"indices": [
276,
299
],
"media_key": "3_1925190377448853504",
"media_url_https": "https://pbs.twimg.com/media/GremcrzW0AATUrS.png",
"type": "photo",
"url": "https://t.co/5O5r76JiLq",
"ext_media_availability": {
"status": "Available"
},
"features": {
"large": {
"faces": []
},
"medium": {
"faces": []
},
"small": {
"faces": []
},
"orig": {
"faces": []
}
},
"sizes": {
"large": {
"h": 841,
"w": 833,
"resize": "fit"
},
"medium": {
"h": 841,
"w": 833,
"resize": "fit"
},
"small": {
"h": 680,
"w": 674,
"resize": "fit"
},
"thumb": {
"h": 150,
"w": 150,
"resize": "crop"
}
},
"original_info": {
"height": 841,
"width": 833,
"focus_rects": [
{
"x": 0,
"y": 166,
"w": 833,
"h": 466
},
{
"x": 0,
"y": 0,
"w": 833,
"h": 833
},
{
"x": 0,
"y": 0,
"w": 738,
"h": 841
},
{
"x": 0,
"y": 0,
"w": 421,
"h": 841
},
{
"x": 0,
"y": 0,
"w": 833,
"h": 841
}
]
},
"allow_download_status": {
"allow_download": true
},
"media_results": {
"result": {
"media_key": "3_1925190377448853504"
}
}
}
]
},
"favorite_count": 15,
"favorited": false,
"full_text": "Applicability across modalities\n\nTechniques validated on LLMs also improve efficiency in Large Vision Models (LVMs) and Vision-Language Models (VLMs), with MQA/GQA boosting FID scores in image generation and PEFT methods providing balanced performance–efficiency trade-offs.… https://t.co/5O5r76JiLq",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191678236725618",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 1,
"reply_count": 2,
"retweet_count": 2,
"retweeted": false,
"user_id_str": "3448284313",
"id_str": "1925191681025962427"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "SelfThread"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1925191675741118544"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1925534935521079697",
"sortIndex": "1953552844304941036",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1925534935521079697-tweet-1925534935521079697",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925534935521079697",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNjE4NTM3Mg==",
"rest_id": "16185372",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Mon Sep 08 14:57:23 +0000 2008",
"default_profile": false,
"default_profile_image": false,
"description": "Biomedical researcher, data scientist, doting father. 🧬🐍",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 23418,
"followers_count": 957,
"friends_count": 3957,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 10,
"location": "Cambridge, MA",
"media_count": 36,
"name": "Scott Gleim",
"normal_followers_count": 957,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/16185372/1672050916",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1607322847650762755/2VfhmUxP_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "sgleim",
"statuses_count": 903,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"card": {
"rest_id": "https://t.co/ilgytcV1dx",
"legacy": {
"binding_values": [
{
"key": "thumbnail_image",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 144,
"width": 144,
"url": "https://pbs.twimg.com/card_img/1952257017738842112/1xLFYona?format=jpg&name=144x144_2"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "Large Language Models (LLMs) have driven significant progress, yet their growing parameter counts and context windows incur prohibitive compute, energy, and monetary costs. We introduce...",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "arxiv.org",
"type": "STRING"
}
},
{
"key": "thumbnail_image_large",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 420,
"width": 420,
"url": "https://pbs.twimg.com/card_img/1952257017738842112/1xLFYona?format=jpg&name=420x420_2"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_original",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 1000,
"width": 1000,
"url": "https://pbs.twimg.com/card_img/1952257017738842112/1xLFYona?format=jpg&name=orig"
},
"type": "IMAGE"
}
},
{
"key": "site",
"value": {
"scribe_key": "publisher_id",
"type": "USER",
"user_value": {
"id_str": "808633423300624384",
"path": []
}
}
},
{
"key": "thumbnail_image_small",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 100,
"width": 100,
"url": "https://pbs.twimg.com/card_img/1952257017738842112/1xLFYona?format=jpg&name=100x100_2"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_x_large",
"value": {
"image_value": {
"alt": "arXiv logo",
"height": 1000,
"width": 1000,
"url": "https://pbs.twimg.com/card_img/1952257017738842112/1xLFYona?format=png&name=2048x2048_2_exp"
},
"type": "IMAGE"
}
},
{
"key": "thumbnail_image_alt_text",
"value": {
"string_value": "arXiv logo",
"type": "STRING"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "arxiv.org",
"type": "STRING"
}
},
{
"key": "thumbnail_image_color",
"value": {
"image_color_value": {
"palette": [
{
"rgb": {
"blue": 255,
"green": 255,
"red": 255
},
"percentage": 94.17
},
{
"rgb": {
"blue": 105,
"green": 116,
"red": 124
},
"percentage": 4.33
},
{
"rgb": {
"blue": 46,
"green": 21,
"red": 170
},
"percentage": 1.26
},
{
"rgb": {
"blue": 131,
"green": 116,
"red": 203
},
"percentage": 0.23
}
]
},
"type": "IMAGE_COLOR"
}
},
{
"key": "title",
"value": {
"string_value": "EfficientLLM: Efficiency in Large Language Models",
"type": "STRING"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/ilgytcV1dx",
"type": "STRING"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "summary",
"url": "https://t.co/ilgytcV1dx",
"user_refs_results": [
{
"result": {
"__typename": "User",
"id": "VXNlcjo4MDg2MzM0MjMzMDA2MjQzODQ=",
"rest_id": "808633423300624384",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Tue Dec 13 11:23:26 +0000 2016",
"default_profile": false,
"default_profile_image": false,
"description": "News from https://t.co/enurGFxpcS, a free distribution service and an open archive for scholarly articles.\n\nFor help with arXiv, see https://t.co/LcWuhM0BOl",
"entities": {
"description": {
"urls": [
{
"display_url": "arXiv.org",
"expanded_url": "http://arXiv.org",
"url": "https://t.co/enurGFxpcS",
"indices": [
10,
33
]
},
{
"display_url": "arxiv.org/help",
"expanded_url": "https://arxiv.org/help",
"url": "https://t.co/LcWuhM0BOl",
"indices": [
133,
156
]
}
]
},
"url": {
"urls": [
{
"display_url": "arxiv.org",
"expanded_url": "https://arxiv.org/",
"url": "https://t.co/DHMkdi4lF9",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 948,
"followers_count": 41366,
"friends_count": 187,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 488,
"location": "Ithaca, NY",
"media_count": 109,
"name": "arXiv.org",
"normal_followers_count": 41366,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/808633423300624384/1481635469",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1365352170267299840/IzvjKckL_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "arxiv",
"statuses_count": 1106,
"translator_type": "none",
"url": "https://t.co/DHMkdi4lF9",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
]
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925534935521079697"
],
"editable_until_msecs": "1747921877000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "275",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/#!/download/ipad\" rel=\"nofollow\">Twitter for iPad</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Thu May 22 12:51:17 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
10,
58
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "arxiv.org/abs/2505.13840",
"expanded_url": "https://arxiv.org/abs/2505.13840",
"url": "https://t.co/ilgytcV1dx",
"indices": [
35,
58
]
}
],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 5,
"favorited": false,
"full_text": "@omarsar0 EfficientLLM arXiv link: https://t.co/ilgytcV1dx",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191664475222186",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "16185372",
"id_str": "1925534935521079697"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1925534935521079697"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1925353886480834752",
"sortIndex": "1953552844304941026",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1925353886480834752-tweet-1925353886480834752",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925353886480834752",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo3OTgyODU5OTM3NDA3NjMxMzY=",
"rest_id": "798285993740763136",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Mon Nov 14 22:06:27 +0000 2016",
"default_profile": false,
"default_profile_image": false,
"description": "Adventurer. AI Engineer. Founder & CEO at https://t.co/ZqrfDh04Ig and AI Consulting LLC",
"entities": {
"description": {
"urls": [
{
"display_url": "lendable.ai",
"expanded_url": "http://lendable.ai",
"url": "https://t.co/ZqrfDh04Ig",
"indices": [
42,
65
]
}
]
},
"url": {
"urls": [
{
"display_url": "beacons.ai/rodrigogonzalez",
"expanded_url": "https://beacons.ai/rodrigogonzalez",
"url": "https://t.co/3Nvqyr0tIM",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 285,
"followers_count": 3128,
"friends_count": 920,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 10,
"location": "Cambridge, MA",
"media_count": 14,
"name": "Rodrigo Gonzalez",
"normal_followers_count": 3128,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/798285993740763136/1519323421",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1576809302093963265/L1LybcBz_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "AutoExAI",
"statuses_count": 2409,
"translator_type": "none",
"url": "https://t.co/3Nvqyr0tIM",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1570882995648712709",
"professional_type": "Creator",
"category": [
{
"id": 958,
"name": "Entrepreneur",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925353886480834752"
],
"editable_until_msecs": "1747878712000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "578",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 1,
"bookmarked": false,
"created_at": "Thu May 22 00:51:52 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
10,
62
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 4,
"favorited": false,
"full_text": "@omarsar0 Why don’t you post the arxiv links with these posts?",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191664475222186",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "798285993740763136",
"id_str": "1925353886480834752"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1925353886480834752"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1925367257515045356",
"sortIndex": "1953552844304941016",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1925367257515045356-tweet-1925367257515045356",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925367257515045356",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxODYyNjYzOTQxOTcwNjUzMTg0",
"rest_id": "1862663941970653184",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": true,
"created_at": "Sat Nov 30 01:04:43 +0000 2024",
"default_profile": true,
"default_profile_image": false,
"description": "e/acc// @thealgovoice Sales guy turned AI builder. Currently crafting GPT-powered apps and navigating Git commits on my quest to break into the industry",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "github.com/jacobarrio",
"expanded_url": "http://github.com/jacobarrio",
"url": "https://t.co/oDDPTPLtbQ",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 81,
"followers_count": 65,
"friends_count": 302,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "Vancouver, WA",
"media_count": 188,
"name": "Jacobarrio",
"normal_followers_count": 65,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1862663941970653184/1746377575",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1914847961504473091/oFGMAtMa_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "jlee8648",
"statuses_count": 325,
"translator_type": "none",
"url": "https://t.co/oDDPTPLtbQ",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"card": {
"rest_id": "https://t.co/cbaE3TIYDm",
"legacy": {
"binding_values": [
{
"key": "player_url",
"value": {
"string_value": "https://www.youtube.com/embed/n5lfGQxRheQ",
"type": "STRING"
}
},
{
"key": "player_image_large",
"value": {
"image_value": {
"height": 197,
"width": 351,
"url": "https://pbs.twimg.com/cards/player-placeholder.png"
},
"type": "IMAGE"
}
},
{
"key": "player_image",
"value": {
"image_value": {
"height": 197,
"width": 351,
"url": "https://pbs.twimg.com/cards/player-placeholder.png"
},
"type": "IMAGE"
}
},
{
"key": "description",
"value": {
"string_value": "Welcome to The Algorithmic Voice – your trusted source for in-depth analyses of cutting-edge AI research.In this episode, we delve into the paper EfficientLL...",
"type": "STRING"
}
},
{
"key": "player_width",
"value": {
"string_value": "960",
"type": "STRING"
}
},
{
"key": "domain",
"value": {
"string_value": "www.youtube.com",
"type": "STRING"
}
},
{
"key": "app_is_free",
"value": {
"string_value": "true",
"type": "STRING"
}
},
{
"key": "site",
"value": {
"scribe_key": "publisher_id",
"type": "USER",
"user_value": {
"id_str": "10228272",
"path": []
}
}
},
{
"key": "app_url_resolved",
"value": {
"string_value": "https://www.youtube.com/watch?v=n5lfGQxRheQ",
"type": "STRING"
}
},
{
"key": "app_price_amount",
"value": {
"string_value": "0.0",
"type": "STRING"
}
},
{
"key": "player_height",
"value": {
"string_value": "720",
"type": "STRING"
}
},
{
"key": "vanity_url",
"value": {
"scribe_key": "vanity_url",
"string_value": "youtube.com",
"type": "STRING"
}
},
{
"key": "app_name",
"value": {
"string_value": "YouTube",
"type": "STRING"
}
},
{
"key": "app_id",
"value": {
"scribe_key": "publisher_app_id",
"string_value": "com.google.android.youtube",
"type": "STRING"
}
},
{
"key": "player_image_small",
"value": {
"image_value": {
"height": 197,
"width": 351,
"url": "https://pbs.twimg.com/cards/player-placeholder.png"
},
"type": "IMAGE"
}
},
{
"key": "title",
"value": {
"string_value": "EfficientLLM: Optimizing Large Language Models",
"type": "STRING"
}
},
{
"key": "app_price_currency",
"value": {
"string_value": "USD",
"type": "STRING"
}
},
{
"key": "app_url",
"value": {
"string_value": "https://t.co/redirect?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3Dn5lfGQxRheQ&sig=d245923dbe72a349f6e37aff1a6f94f76b551b60&ssr=true&slug=cbaE3TIYDm",
"type": "STRING"
}
},
{
"key": "card_url",
"value": {
"scribe_key": "card_url",
"string_value": "https://t.co/cbaE3TIYDm",
"type": "STRING"
}
},
{
"key": "player_image_x_large",
"value": {
"image_value": {
"height": 197,
"width": 351,
"url": "https://pbs.twimg.com/cards/player-placeholder.png"
},
"type": "IMAGE"
}
}
],
"card_platform": {
"platform": {
"audience": {
"name": "production"
},
"device": {
"name": "Android",
"version": "12"
}
}
},
"name": "player",
"url": "https://t.co/cbaE3TIYDm",
"user_refs_results": [
{
"result": {
"__typename": "User",
"id": "VXNlcjoxMDIyODI3Mg==",
"rest_id": "10228272",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Square",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Tue Nov 13 21:43:46 +0000 2007",
"default_profile": false,
"default_profile_image": false,
"description": "like & subscribe",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "yt.be/3NDRz",
"expanded_url": "https://yt.be/3NDRz",
"url": "https://t.co/WBV5E1Rh1y",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 6055,
"followers_count": 79004017,
"friends_count": 1147,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 77659,
"location": "San Bruno, CA",
"media_count": 16019,
"name": "YouTube",
"normal_followers_count": 79004017,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/10228272/1745416765",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1915882040353837056/VbhPvueq_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "YouTube",
"statuses_count": 60091,
"translator_type": "regular",
"url": "https://t.co/WBV5E1Rh1y",
"verified": false,
"verified_type": "Business",
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
]
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925367257515045356"
],
"editable_until_msecs": "1747881900000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "711",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu May 22 01:45:00 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
10,
33
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [
{
"display_url": "youtu.be/n5lfGQxRheQ?si…",
"expanded_url": "https://youtu.be/n5lfGQxRheQ?si=JqfMR34jMj5I9oBQ",
"url": "https://t.co/cbaE3TIYDm",
"indices": [
10,
33
]
}
],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 2,
"favorited": false,
"full_text": "@omarsar0 https://t.co/cbaE3TIYDm",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191664475222186",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "qme",
"possibly_sensitive": false,
"possibly_sensitive_editable": true,
"quote_count": 0,
"reply_count": 0,
"retweet_count": 1,
"retweeted": false,
"user_id_str": "1862663941970653184",
"id_str": "1925367257515045356"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1925367257515045356"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1925290455597535593",
"sortIndex": "1953552844304941006",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1925290455597535593-tweet-1925290455597535593",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925290455597535593",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxNzI2NzIxNA==",
"rest_id": "17267214",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Sun Nov 09 10:56:56 +0000 2008",
"default_profile": true,
"default_profile_image": false,
"description": "Webint, Text-Analytics, AI, Digital Intelligence and Nerf Blasters",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "cellebrite.com",
"expanded_url": "https://www.cellebrite.com",
"url": "https://t.co/CK7ZRN9e2f",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 5003,
"followers_count": 158,
"friends_count": 417,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 3,
"location": "Israel",
"media_count": 82,
"name": "orenyosifon",
"normal_followers_count": 158,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1466189597751197700/MDsLNP4f_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "orenyosifon",
"statuses_count": 1838,
"translator_type": "none",
"url": "https://t.co/CK7ZRN9e2f",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925290455597535593"
],
"editable_until_msecs": "1747863589000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "557",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Wed May 21 20:39:49 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
10,
45
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@omarsar0 Thank you for your insightful notes",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191664475222186",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "17267214",
"id_str": "1925290455597535593"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1925290455597535593"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1925212299608174980",
"sortIndex": "1953552844304940996",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1925212299608174980-tweet-1925212299608174980",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925212299608174980",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjozMTUwNjE2OTM4",
"rest_id": "3150616938",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Sun Apr 12 01:51:49 +0000 2015",
"default_profile": true,
"default_profile_image": false,
"description": "IA/ML Engineer\nPortfolio: https://t.co/0WECrYiOEL",
"entities": {
"description": {
"urls": [
{
"display_url": "bvantuan.github.io",
"expanded_url": "https://bvantuan.github.io/",
"url": "https://t.co/0WECrYiOEL",
"indices": [
26,
49
]
}
]
},
"url": {
"urls": [
{
"display_url": "linkedin.com/in/van-tuan-bui",
"expanded_url": "https://www.linkedin.com/in/van-tuan-bui",
"url": "https://t.co/SqE6AQUJmY",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 550,
"followers_count": 78,
"friends_count": 336,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 1,
"location": "France",
"media_count": 63,
"name": "Van Tuan Bui",
"normal_followers_count": 78,
"pinned_tweet_ids_str": [
"1927642042462806155"
],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1897393113779372032/sLdsiUDI_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "bvttuan",
"statuses_count": 703,
"translator_type": "none",
"url": "https://t.co/SqE6AQUJmY",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1897395166106825099",
"professional_type": "Business",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925212299608174980"
],
"editable_until_msecs": "1747844955000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "689",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/android\" rel=\"nofollow\">Twitter for Android</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Wed May 21 15:29:15 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
10,
49
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 1,
"favorited": false,
"full_text": "@omarsar0 thanks for distilling the trade-offs! 💡",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191664475222186",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "3150616938",
"id_str": "1925212299608174980"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1925212299608174980"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1925460030629052684",
"sortIndex": "1953552844304940986",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1925460030629052684-tweet-1925460030629052684",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925460030629052684",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxOTE3Mjc2ODcxMzAzMjU4MTE3",
"rest_id": "1917276871303258117",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": true,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Tue Apr 29 17:56:56 +0000 2025",
"default_profile": true,
"default_profile_image": false,
"description": "Build and debug finetuned LLMs with no code.",
"entities": {
"description": {
"urls": []
},
"url": {
"urls": [
{
"display_url": "phinity.ai",
"expanded_url": "https://www.phinity.ai/",
"url": "https://t.co/xvNGTsrjUn",
"indices": [
0,
23
]
}
]
}
},
"fast_followers_count": 0,
"favourites_count": 2582,
"followers_count": 72,
"friends_count": 7,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 0,
"location": "",
"media_count": 63,
"name": "Phinity Labs",
"normal_followers_count": 72,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1917276871303258117/1749339808",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1917281980133302277/NQTdiJH-_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "phinity_ai",
"statuses_count": 1762,
"translator_type": "none",
"url": "https://t.co/xvNGTsrjUn",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"professional": {
"rest_id": "1917279833958277155",
"professional_type": "Business",
"category": [
{
"id": 713,
"name": "Science & Technology",
"icon_name": ""
}
]
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925460030629052684"
],
"editable_until_msecs": "1747904019000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "118",
"state": "EnabledWithCount"
},
"source": "<a href=\"https://mobile.twitter.com\" rel=\"nofollow\">Twitter Web App</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu May 22 07:53:39 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
10,
92
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@omarsar0 Efficiency is the name of the game in 2025 and this benchmark is the new playbook.",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191664475222186",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1917276871303258117",
"id_str": "1925460030629052684"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1925460030629052684"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1925433772603740591",
"sortIndex": "1953552844304940976",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1925433772603740591-tweet-1925433772603740591",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925433772603740591",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjoxMjY3ODc1MzkwMDE5ODI5NzYx",
"rest_id": "1267875390019829761",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": false,
"can_media_tag": true,
"created_at": "Tue Jun 02 17:47:58 +0000 2020",
"default_profile": true,
"default_profile_image": false,
"description": "Forbes 150 under 150",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 227,
"followers_count": 19,
"friends_count": 314,
"has_custom_timelines": false,
"is_translator": false,
"listed_count": 1,
"location": "",
"media_count": 12,
"name": "Widely Known As Not Famous",
"normal_followers_count": 19,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_banner_url": "https://pbs.twimg.com/profile_banners/1267875390019829761/1668488687",
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1592383038805221376/nNTOCOB9_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "NotAFamousCeleb",
"statuses_count": 510,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925433772603740591"
],
"editable_until_msecs": "1747897758000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "183",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Thu May 22 06:09:18 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
10,
65
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@omarsar0 The graphs gave me a headache. Tough to try to decipher",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191664475222186",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 0,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "1267875390019829761",
"id_str": "1925433772603740591"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1925433772603740591"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "conversationthread-1925775013719753185",
"sortIndex": "1953552844304940966",
"content": {
"entryType": "TimelineTimelineModule",
"__typename": "TimelineTimelineModule",
"items": [
{
"entryId": "conversationthread-1925775013719753185-tweet-1925775013719753185",
"item": {
"itemContent": {
"itemType": "TimelineTweet",
"__typename": "TimelineTweet",
"tweet_results": {
"result": {
"__typename": "Tweet",
"rest_id": "1925775013719753185",
"has_birdwatch_notes": false,
"core": {
"user_results": {
"result": {
"__typename": "User",
"id": "VXNlcjo2NjA0NTQ3MA==",
"rest_id": "66045470",
"affiliates_highlighted_label": {},
"has_graduated_access": true,
"is_blue_verified": false,
"profile_image_shape": "Circle",
"legacy": {
"can_dm": true,
"can_media_tag": false,
"created_at": "Sun Aug 16 03:47:51 +0000 2009",
"default_profile": false,
"default_profile_image": false,
"description": "Space, war, more space, always academic, sometimes funny. Trying to stay ahead of the AI revolution.",
"entities": {
"description": {
"urls": []
}
},
"fast_followers_count": 0,
"favourites_count": 18245,
"followers_count": 155,
"friends_count": 1133,
"has_custom_timelines": true,
"is_translator": false,
"listed_count": 0,
"location": "United States",
"media_count": 16,
"name": "OsirisRaptor",
"normal_followers_count": 155,
"pinned_tweet_ids_str": [],
"possibly_sensitive": false,
"profile_image_url_https": "https://pbs.twimg.com/profile_images/1647309191718260736/XjgWeIWq_normal.jpg",
"profile_interstitial_type": "",
"screen_name": "Space3nthusiast",
"statuses_count": 19823,
"translator_type": "none",
"verified": false,
"want_retweets": false,
"withheld_in_countries": []
},
"tipjar_settings": {}
}
}
},
"unmention_data": {},
"edit_control": {
"edit_tweet_ids": [
"1925775013719753185"
],
"editable_until_msecs": "1747979117000",
"is_edit_eligible": false,
"edits_remaining": "5"
},
"is_translatable": false,
"views": {
"count": "64",
"state": "EnabledWithCount"
},
"source": "<a href=\"http://twitter.com/download/iphone\" rel=\"nofollow\">Twitter for iPhone</a>",
"legacy": {
"bookmark_count": 0,
"bookmarked": false,
"created_at": "Fri May 23 04:45:17 +0000 2025",
"conversation_id_str": "1925191664475222186",
"display_text_range": [
10,
33
],
"entities": {
"hashtags": [],
"symbols": [],
"timestamps": [],
"urls": [],
"user_mentions": [
{
"id_str": "3448284313",
"name": "elvis",
"screen_name": "omarsar0",
"indices": [
0,
9
]
},
{
"id_str": "895814938995957760",
"name": "Thread Reader App",
"screen_name": "threadreaderapp",
"indices": [
10,
26
]
}
]
},
"favorite_count": 0,
"favorited": false,
"full_text": "@omarsar0 @threadreaderapp unroll",
"in_reply_to_screen_name": "omarsar0",
"in_reply_to_status_id_str": "1925191664475222186",
"in_reply_to_user_id_str": "3448284313",
"is_quote_status": false,
"lang": "en",
"quote_count": 0,
"reply_count": 1,
"retweet_count": 0,
"retweeted": false,
"user_id_str": "66045470",
"id_str": "1925775013719753185"
},
"quick_promote_eligibility": {
"eligibility": "IneligibleNotProfessional"
}
}
},
"tweetDisplayType": "Tweet"
},
"clientEventInfo": {
"component": "tweet",
"element": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
}
],
"metadata": {
"conversationMetadata": {
"allTweetIds": [
"1925775013719753185"
],
"enableDeduplication": true
}
},
"displayType": "VerticalConversation",
"clientEventInfo": {
"component": "tweet",
"details": {
"conversationDetails": {
"conversationSection": "HighQuality"
},
"timelinesDetails": {
"controllerData": "DAACDAAEDAABCgABAAAAAAAAAAEKAAIAAAAAAAAAAAAAAAA="
}
}
}
}
},
{
"entryId": "cursor-showmorethreads-1953552844304940965",
"sortIndex": "1953552844304940965",
"content": {
"entryType": "TimelineTimelineCursor",
"__typename": "TimelineTimelineCursor",
"value": "DAAFCgABGxxp9ia__6MLAAIAAAC8RW1QQzZ3QUFBZlEvZ0dKTjB2R3AvQUFBQUE4YXVFZFIxbG94N0JxNDM5SnFWckdSR3Jlbm5tV1dzS29hdDZlaEJSYWdVQnE0T3lpbW02REFHcmVub1puV2tYSWF0NmVmdnBhZ014cTRtN0pDMjRFTUdyZW5vRmFXWUVjYXQ3cGk0MXV4aEJxM3A1OFRWaEZnR3JnQmQvOVhVV2thdUlQUWxwWVJyeHE1dWl2NkZzSGhHcmVub2tBVzhicz0IAAMAAAAHAAA",
"cursorType": "ShowMoreThreads",
"displayTreatment": {
"actionText": "Show probable spam"
}
}
}
]
},
{
"type": "TimelineTerminateTimeline",
"direction": "Top"
}
],
"metadata": {
"reader_mode_config": {
"is_reader_mode_available": true
},
"scribeConfig": {
"page": "ranked_replies"
}
}
}
}
}